The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-26"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "5589626 (up from 5495061 yesterday: 1.72 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "350453 (up from 346232 yesterday: 1.22 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.27



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1680913 18611 1.12 98913 693 0.71 5.88
Brazil 391222 16324 4.35 24512 1039 4.43 6.27
Russia 362342 8915 2.52 3807 174 4.79 1.05
United Kingdom 266599 4052 1.54 37130 134 0.36 13.93
Spain 236259 859 0.36 27117 283 1.05 11.48
Italy 230555 397 0.17 32955 78 0.24 14.29
France 182847 -220 -0.12 28533 73 0.26 15.60
Germany 181200 600 0.33 8372 63 0.76 4.62
Turkey 158762 948 0.60 4397 28 0.64 2.77
India 150793 5843 4.03 4344 172 4.12 2.88
Iran 139511 1787 1.30 7508 57 0.76 5.38
Peru 129751 5772 4.66 3788 159 4.38 2.92
Canada 88090 971 1.11 6753 98 1.47 7.67
China 84103 1 0.00 4638 0 0.00 5.51
Chile 77961 3964 5.36 806 45 5.91 1.03
Saudi Arabia 76726 1931 2.58 411 12 3.01 0.54
Mexico 74560 3455 4.86 8134 501 6.56 10.91
Pakistan 57705 1356 2.41 1197 30 2.57 2.07
Belgium 57455 113 0.20 9334 22 0.24 16.25
Qatar 47207 1742 3.83 28 2 7.69 0.06
Netherlands 45780 133 0.29 5875 26 0.44 12.83
Belarus 38059 915 2.46 208 4 1.96 0.55
Ecuador 37355 0 0.00 3203 0 0.00 8.57
Bangladesh 36751 1166 3.28 522 21 4.19 1.42
Sweden 34440 597 1.76 4125 96 2.38 11.98
Singapore 32343 383 1.20 23 0 0.00 0.07
United Arab Emirates 31086 779 2.57 253 5 2.02 0.81
Portugal 31007 219 0.71 1342 12 0.90 4.33
Switzerland 30761 15 0.05 1915 2 0.10 6.23
Ireland 24735 37 0.15 1615 9 0.56 6.53
South Africa 24264 649 2.75 524 43 8.94 2.16
Indonesia 23165 415 1.82 1418 27 1.94 6.12
Colombia 23003 1022 4.65 776 26 3.47 3.37
Kuwait 22575 608 2.77 172 7 4.24 0.76
Poland 22074 443 2.05 1024 17 1.69 4.64
Ukraine 21584 339 1.60 644 21 3.37 2.98
Egypt 18756 789 4.39 797 14 1.79 4.25
Romania 18429 146 0.80 1216 11 0.91 6.60
Israel 16757 23 0.14 281 0 0.00 1.68
Japan 16623 42 0.25 846 16 1.93 5.09
Austria 16557 18 0.11 643 2 0.31 3.88
Dominican Republic 15264 191 1.27 468 8 1.74 3.07
Philippines 14669 350 2.44 886 13 1.49 6.04
Argentina 13228 600 4.75 484 17 3.64 3.66
Afghanistan 11831 658 5.89 220 1 0.46 1.86
Denmark 11627 41 0.35 563 0 0.00 4.84
Panama 11447 264 2.36 313 3 0.97 2.73
Korea, South 11265 40 0.36 269 0 0.00 2.39
Serbia 11227 34 0.30 239 0 0.00 2.13
Bahrain 9366 195 2.13 14 0 0.00 0.15
Czechia 9050 48 0.53 317 0 0.00 3.50
Kazakhstan 8969 0 0.00 37 2 5.71 0.41
Algeria 8697 194 2.28 617 8 1.31 7.09
Norway 8383 19 0.23 235 0 0.00 2.80
Nigeria 8344 276 3.42 249 16 6.87 2.98
Oman 8118 348 4.48 37 0 0.00 0.46
Malaysia 7604 187 2.52 115 0 0.00 1.51
Morocco 7577 45 0.60 202 2 1.00 2.67
Armenia 7402 289 4.06 91 4 4.60 1.23
Moldova 7305 158 2.21 267 6 2.30 3.66
Australia 7139 13 0.18 103 1 0.98 1.44
Bolivia 7136 476 7.15 274 13 4.98 3.84
Ghana 7117 309 4.54 34 2 6.25 0.48
Finland 6628 29 0.44 312 4 1.30 4.71
Cameroon 5436 546 11.17 175 10 6.06 3.22
Iraq 4848 216 4.66 169 6 3.68 3.49
Azerbaijan 4403 132 3.09 52 1 1.96 1.18
Honduras 4401 212 5.06 188 6 3.30 4.27
Luxembourg 3995 2 0.05 110 0 0.00 2.75
Sudan 3976 0 0.00 170 0 0.00 4.28
Guatemala 3954 194 5.16 63 4 6.78 1.59
Hungary 3771 15 0.40 499 8 1.63 13.23
Uzbekistan 3290 101 3.17 14 1 7.69 0.43
Guinea 3275 0 0.00 20 0 0.00 0.61
Tajikistan 3266 166 5.35 47 1 2.17 1.44
Senegal 3161 31 0.99 36 1 2.86 1.14
Thailand 3045 3 0.10 57 0 0.00 1.87
Greece 2892 10 0.35 173 1 0.58 5.98
Cote d’Ivoire 2477 54 2.23 30 0 0.00 1.21
Djibouti 2468 0 0.00 14 0 0.00 0.57
Bulgaria 2443 10 0.41 130 0 0.00 5.32
Bosnia and Herzegovina 2416 10 0.42 149 3 2.05 6.17
Congo (Kinshasa) 2403 106 4.61 68 1 1.49 2.83
Croatia 2244 0 0.00 101 1 1.00 4.50
Gabon 2238 103 4.82 14 0 0.00 0.63
El Salvador 2042 59 2.98 36 1 2.86 1.76
North Macedonia 2014 15 0.75 116 3 2.65 5.76
Cuba 1963 16 0.82 82 0 0.00 4.18
Estonia 1834 10 0.55 65 0 0.00 3.54
Iceland 1804 0 0.00 10 0 0.00 0.55
Somalia 1711 22 1.30 67 1 1.52 3.92
Lithuania 1639 4 0.24 65 2 3.17 3.97
Slovakia 1513 2 0.13 28 0 0.00 1.85
New Zealand 1504 0 0.00 21 0 0.00 1.40
Slovenia 1469 0 0.00 108 1 0.93 7.35
Kyrgyzstan 1468 35 2.44 16 0 0.00 1.09
Maldives 1438 43 3.08 5 1 25.00 0.35
Kenya 1348 62 4.82 52 0 0.00 3.86
Sri Lanka 1319 137 11.59 10 0 0.00 0.76
Venezuela 1211 34 2.89 11 1 10.00 0.91
Guinea-Bissau 1178 0 0.00 7 0 0.00 0.59
Haiti 1174 216 22.55 33 6 22.22 2.81
Lebanon 1140 21 1.88 26 0 0.00 2.28
Mali 1077 18 1.70 70 3 4.48 6.50
Latvia 1053 4 0.38 22 0 0.00 2.09
Tunisia 1051 0 0.00 48 0 0.00 4.57
Equatorial Guinea 1043 0 0.00 12 0 0.00 1.15
Kosovo 1038 0 0.00 30 0 0.00 2.89
Albania 1029 25 2.49 33 1 3.12 3.21

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 363836 1072 0.30 29302 73 0.25 8.05 18702.80 1506.25 1 in 53
New Jersey 155764 672 0.43 11194 47 0.42 7.19 17536.67 1260.27 1 in 57
Illinois 113195 1178 1.05 4923 38 0.78 4.35 8932.81 388.50 1 in 112
California 99387 2987 3.10 3819 50 1.33 3.84 2515.35 96.65 1 in 398
Massachusetts 93693 422 0.45 6473 57 0.89 6.91 13481.97 931.43 1 in 74
Pennsylvania 72778 853 1.19 5163 17 0.33 7.09 5684.90 403.30 1 in 176
Texas 57230 821 1.46 1546 13 0.85 2.70 1973.73 53.32 1 in 507
Michigan 55104 223 0.41 5266 25 0.48 9.56 5517.65 527.29 1 in 181
Florida 52255 509 0.98 2259 7 0.31 4.32 2432.98 105.18 1 in 411
Maryland 47687 535 1.13 2333 31 1.35 4.89 7887.78 385.90 1 in 127
Georgia 43983 583 1.34 1896 48 2.60 4.31 4142.53 178.57 1 in 241
Connecticut 41303 430 1.05 3769 27 0.72 9.13 11584.76 1057.14 1 in 86
Virginia 39342 1615 4.28 1236 28 2.32 3.14 4609.21 144.81 1 in 217
Louisiana 38054 245 0.65 2702 11 0.41 7.10 8185.78 581.23 1 in 122
Ohio 33006 529 1.63 2002 15 0.75 6.07 2823.66 171.27 1 in 354
Indiana 32078 363 1.14 2004 20 1.01 6.25 4764.85 297.67 1 in 210
Colorado 24552 296 1.22 1352 19 1.43 5.51 4263.44 234.77 1 in 235
North Carolina 24455 398 1.65 801 11 1.39 3.28 2331.69 76.37 1 in 429
Minnesota 21960 645 3.03 908 18 2.02 4.13 3893.87 161.00 1 in 257
Tennessee 20895 360 1.75 343 5 1.48 1.64 3057.88 50.20 1 in 327
Washington 20181 116 0.58 1078 8 0.75 5.34 2650.20 141.56 1 in 377
Iowa 17703 146 0.83 477 21 4.61 2.69 5610.97 151.19 1 in 178
Arizona 16864 289 1.74 810 3 0.37 4.80 2214.61 106.37 1 in 452
Wisconsin 15863 279 1.79 517 3 0.58 3.26 2724.46 88.79 1 in 367
Alabama 15650 664 4.43 580 14 2.47 3.71 3191.80 118.29 1 in 313
Rhode Island 14210 145 1.03 634 26 4.28 4.46 13413.75 598.47 1 in 75
Mississippi 13731 273 2.03 652 17 2.68 4.75 4613.68 219.08 1 in 217
Nebraska 12619 257 2.08 147 0 0.00 1.16 6523.44 75.99 1 in 153
Missouri 12579 103 0.83 693 4 0.58 5.51 2049.56 112.91 1 in 488
South Carolina 10416 238 2.34 446 6 1.36 4.28 2023.03 86.62 1 in 494
Kansas 9199 74 0.81 210 3 1.45 2.28 3157.57 72.08 1 in 317
Delaware 9066 101 1.13 335 3 0.90 3.70 9310.26 344.03 1 in 107
Kentucky 8951 380 4.43 394 3 0.77 4.40 2003.50 88.19 1 in 499
Utah 8620 99 1.16 101 3 3.06 1.17 2688.74 31.50 1 in 372
District of Columbia 8334 109 1.33 440 0 0.00 5.28 11808.73 623.45 1 in 85
Nevada 8057 101 1.27 394 0 0.00 4.89 2615.78 127.92 1 in 382
New Mexico 7130 104 1.48 325 5 1.56 4.56 3400.37 155.00 1 in 294
Arkansas 6180 151 2.50 119 2 1.71 1.93 2047.83 39.43 1 in 488
Oklahoma 6138 48 0.79 318 5 1.60 5.18 1551.19 80.36 1 in 645
South Dakota 4653 67 1.46 50 0 0.00 1.07 5259.65 56.52 1 in 190
New Hampshire 4231 34 0.81 214 4 1.90 5.06 3111.69 157.39 1 in 321
Oregon 3967 18 0.46 148 0 0.00 3.73 940.55 35.09 1 in 1063
Puerto Rico 3324 64 1.96 129 0 0.00 3.88 1040.80 40.39 1 in 961
Idaho 2626 0 0.00 79 0 0.00 3.01 1465.35 44.08 1 in 682
North Dakota 2422 -35 -1.42 54 0 0.00 2.23 3178.22 70.86 1 in 315
Maine 2109 35 1.69 79 1 1.28 3.75 1568.95 58.77 1 in 637
West Virginia 1774 0 0.00 72 0 0.00 4.06 992.64 40.29 1 in 1007
Vermont 967 5 0.52 54 0 0.00 5.58 1549.71 86.54 1 in 645
Wyoming 850 7 0.83 13 1 8.33 1.53 1468.66 22.46 1 in 681
Hawaii 643 0 0.00 17 0 0.00 2.64 454.14 12.01 1 in 2202
Montana 479 0 0.00 17 1 6.25 3.55 448.18 15.91 1 in 2231
Alaska 410 2 0.49 10 0 0.00 2.44 560.46 13.67 1 in 1784

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1774128 363836 20.51 91198.11
New Jersey 635892 155764 24.50 71591.80
Illinois 786794 113195 14.39 62090.05
California 1696396 99387 5.86 42933.45
Massachusetts 545481 93693 17.18 78492.09
Pennsylvania 408472 72778 17.82 31906.92
Texas 821233 57230 6.97 28322.40
Michigan 484279 55104 11.38 48491.63
Florida 923224 52255 5.66 42985.16
Maryland 254487 47687 18.74 42094.02
Georgia 514945 43983 8.54 48500.00
Connecticut 225362 41303 18.33 63210.06
Virginia 267181 39342 14.72 31302.26
Louisiana 341026 38054 11.16 73357.95
Ohio 339400 33006 9.72 29035.60
Indiana 230749 32078 13.90 34275.33
Colorado 156011 24552 15.74 27091.19
North Carolina 352331 24455 6.94 33593.46
Minnesota 209898 21960 10.46 37218.39
Tennessee 403504 20895 5.18 59050.74
Washington 330598 20181 6.10 43414.66
Iowa 135004 17703 13.11 42789.54
Arizona 190731 16864 8.84 25047.10
Wisconsin 216737 15863 7.32 37224.47
Alabama 193759 15650 8.08 39516.97
Rhode Island 135363 14210 10.50 127777.97
Mississippi 147819 13731 9.29 49667.88
Nebraska 88042 12619 14.33 45513.67
Missouri 160298 12579 7.85 26118.11
South Carolina 172734 10416 6.03 33548.96
Kansas 81399 9199 11.30 27940.35
Delaware 54914 9066 16.51 56393.54
Kentucky 169856 8951 5.27 38018.90
Utah 198592 8620 4.34 61944.67
District of Columbia 42055 8334 19.82 59589.17
Nevada 123367 8057 6.53 40052.19
New Mexico 177361 7130 4.02 84585.34
Arkansas 111773 6180 5.53 37037.60
Oklahoma 159941 6138 3.84 40420.06
South Dakota 37038 4653 12.56 41866.98
New Hampshire 63039 4231 6.71 46362.06
Oregon 115538 3967 3.43 27393.36
Puerto Rico 3324 3324 100.00 1040.80
Idaho 41406 2626 6.34 23105.19
North Dakota 66854 2422 3.62 87727.77
Maine 37559 2109 5.62 27941.28
West Virginia 87811 1774 2.02 49134.74
Vermont 30423 967 3.18 48755.67
Wyoming 21502 850 3.95 37151.91
Hawaii 50371 643 1.28 35575.96
Montana 33834 479 1.42 31656.71
Alaska 44964 410 0.91 61464.43

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 54758 2091 3.97 16954 30.96 36012 1792 97 5.72 3.27
Tamil Nadu 17728 646 3.78 9342 52.70 8258 128 9 7.56 0.72
Gujarat 14829 361 2.50 7139 48.14 6775 915 27 3.04 6.17
Delhi 14465 412 2.93 6954 48.07 7223 288 12 4.35 1.99
Rajasthan 7536 160 2.17 4276 56.74 3090 170 3 1.80 2.26
Madhya Pradesh 7024 165 2.41 3689 52.52 3030 305 5 1.67 4.34
Uttar Pradesh 6724 227 3.49 3824 56.87 2723 177 8 4.73 2.63
State Unassigned 4013 1043 35.12 0 0.00 4013 0 0 NaN 0.00
West Bengal 4009 193 5.06 1486 37.07 2240 283 5 1.80 7.06
Andhra Pradesh 2983 97 3.36 2017 67.62 909 57 1 1.79 1.91
Bihar 2968 231 8.44 800 26.95 2154 14 1 7.69 0.47
Karnataka 2283 101 4.63 748 32.76 1489 44 0 0.00 1.93
Punjab 2106 25 1.20 1918 91.07 148 40 0 0.00 1.90
Telangana 1991 71 3.70 1284 64.49 650 57 1 1.79 2.86
Jammu and Kashmir 1759 91 5.46 833 47.36 902 24 1 4.35 1.36
Odisha 1517 79 5.49 733 48.32 777 7 0 0.00 0.46
Haryana 1305 92 7.58 824 63.14 465 16 0 0.00 1.23
Kerala 964 67 7.47 542 56.22 416 6 0 0.00 0.62
Assam 683 134 24.41 63 9.22 613 4 0 0.00 0.59
Jharkhand 426 21 5.19 153 35.92 269 4 0 0.00 0.94
Uttarakhand 400 51 14.61 64 16.00 329 4 0 0.00 1.00
Chhattisgarh 360 68 23.29 79 21.94 281 0 0 NaN 0.00
Chandigarh 278 12 4.51 187 67.27 87 4 0 0.00 1.44
Himachal Pradesh 247 24 10.76 63 25.51 177 4 0 0.00 1.62
Tripura 232 34 17.17 165 71.12 67 0 0 NaN 0.00
Goa 67 0 0.00 28 41.79 39 0 0 NaN 0.00
Ladakh 53 0 0.00 43 81.13 10 0 0 NaN 0.00
Puducherry 49 0 0.00 17 34.69 32 0 0 NaN 0.00
Manipur 39 3 8.33 4 10.26 35 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 20 5 33.33 12 60.00 7 1 0 0.00 5.00
Nagaland 9 6 200.00 0 0.00 9 0 0 NaN 0.00
Arunachal Pradesh 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Sikkim 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 685058 87417 159 0.18 12.76 3622 183 24477 15896 18.18
Piemonte 293473 30314 86 0.28 10.33 1162 70 6941 3812 12.58
Emilia-Romagna 297854 27611 24 0.09 9.27 493 80 4146 4076 14.76
Veneto 602252 19105 8 0.04 3.17 177 11 2431 1886 9.87
Toscana 234796 10070 3 0.03 4.29 145 34 1522 1021 10.14
Liguria 96678 9550 53 0.56 9.88 223 19 1438 1431 14.98
Lazio 238967 7661 18 0.24 3.21 1083 59 3538 693 9.05
Marche 97285 6718 2 0.03 6.91 94 13 1575 996 14.83
Campania 179845 4767 12 0.25 2.65 286 5 1184 405 8.50
Puglia 106873 4469 2 0.04 4.18 172 17 1539 494 11.05
P.A. Trento 81149 4415 10 0.23 5.44 24 3 513 461 10.44
Sicilia 137682 3430 3 0.09 2.49 83 10 1430 271 7.90
Friuli Venezia Giulia 121412 3251 11 0.34 2.68 59 1 375 329 10.12
Abruzzo 68733 3230 3 0.09 4.70 142 3 909 400 12.38
P.A. Bolzano 61464 2593 0 0.00 4.22 28 5 179 291 11.22
Umbria 65013 1431 1 0.07 2.20 12 2 42 75 5.24
Sardegna 51968 1354 0 0.00 2.61 41 2 224 130 9.60
Valle d’Aosta 14262 1181 2 0.17 8.28 17 1 31 143 12.11
Calabria 64514 1157 0 0.00 1.79 41 1 238 96 8.30
Molise 13452 432 0 0.00 3.21 5 2 174 22 5.09
Basilicata 27197 399 0 0.00 1.47 8 0 36 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 48607 614 1.28 4140 70 1.72 8.52 5693.24 484.91 1 in 176
Ontario 27624 322 1.18 2235 25 1.13 8.09 1877.67 151.92 1 in 533
Alberta 6901 22 0.32 139 1 0.72 2.01 1563.74 31.50 1 in 639
British Columbia 2541 11 0.43 161 0 0.00 6.34 497.17 31.50 1 in 2011
Nova Scotia 1052 1 0.10 59 1 1.72 5.61 1076.26 60.36 1 in 929
Saskatchewan 634 0 0.00 8 1 14.29 1.26 536.53 6.77 1 in 1864
Manitoba 292 0 0.00 7 0 0.00 2.40 211.98 5.08 1 in 4718
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 122 1 0.83 0 0 NaN 0.00 156.41 0.00 1 in 6393
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1592 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1065 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 670 7 1.04
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 564 3 0.53
Fujian 357 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 232 1 0.43
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5137.26 302.30 1 in 195
Brazil 1869.19 117.11 1 in 535
Russia 2507.56 26.35 1 in 399
United Kingdom 4012.63 558.85 1 in 249
Spain 5063.42 581.16 1 in 197
Italy 3812.09 544.89 1 in 262
France 2729.47 425.93 1 in 366
Germany 2188.67 101.12 1 in 457
Turkey 1964.63 54.41 1 in 509
India 112.62 3.24 1 in 8880
Iran 1718.96 92.51 1 in 582
Peru 4033.29 117.75 1 in 248
Canada 2343.44 179.65 1 in 427
China 60.68 3.35 1 in 16480
Chile 4319.17 44.65 1 in 232
Saudi Arabia 2329.27 12.48 1 in 429
Mexico 577.09 62.96 1 in 1733
Pakistan 292.92 6.08 1 in 3414
Belgium 5039.91 818.77 1 in 198
Qatar 17888.22 10.61 1 in 56

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 199301 21314 10.69
Cook Illinois 73819 3354 4.54
Los Angeles California 47845 2145 4.48
Nassau New York 39974 2108 5.27
Suffolk New York 39199 1851 4.72
Westchester New York 33107 1345 4.06
Philadelphia Pennsylvania 21738 1243 5.72
Middlesex Massachusetts 20601 1535 7.45
Wayne Michigan 19926 2368 11.88
Hudson New Jersey 18927 1143 6.04
Bergen New Jersey 17963 1528 8.51
Suffolk Massachusetts 17533 844 4.81
Essex New Jersey 17279 1608 9.31
Miami-Dade Florida 17168 633 3.69
Passaic New Jersey 15826 892 5.64
Middlesex New Jersey 15499 959 6.19
Fairfield Connecticut 15355 1231 8.02
Union New Jersey 15293 1030 6.74
Prince George’s Maryland 13819 506 3.66
Essex Massachusetts 13670 870 6.36
Rockland New York 13019 618 4.75
Harris Texas 11281 221 1.96
New Haven Connecticut 11121 925 8.32
Providence Rhode Island 10607 0 0.00
Worcester Massachusetts 10557 700 6.63
Montgomery Maryland 10291 567 5.51
Orange New York 10277 429 4.17
Hartford Connecticut 9917 1193 12.03
Fairfax Virginia 9839 340 3.46
Marion Indiana 9268 539 5.82
Dallas Texas 9188 213 2.32
Ocean New Jersey 8462 692 8.18
Maricopa Arizona 8448 384 4.55
District of Columbia District of Columbia 8334 440 5.28
Oakland Michigan 8240 958 11.63
Monmouth New Jersey 7911 559 7.07
Norfolk Massachusetts 7863 791 10.06
King Washington 7835 552 7.05
Lake Illinois 7767 250 3.22
Plymouth Massachusetts 7632 522 6.84
Hennepin Minnesota 7421 549 7.40
Jefferson Louisiana 7332 438 5.97
DuPage Illinois 7290 340 4.66
Riverside California 7139 303 4.24
Orleans Louisiana 7021 504 7.18
Broward Florida 6799 300 4.41
San Diego California 6797 249 3.66
Bristol Massachusetts 6733 382 5.67
Montgomery Pennsylvania 6598 635 9.62
Mercer New Jersey 6544 452 6.91

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc